DocumentCode :
181852
Title :
Graph-based context representation, environment modeling and information aggregation for automated driving
Author :
Ulbrich, S. ; Nothdurft, Tobias ; Maurer, M. ; Hecker, Peter
Author_Institution :
Inst. of Control Eng., Tech. Univ. Braunschweig, Braunschweig, Germany
fYear :
2014
fDate :
8-11 June 2014
Firstpage :
541
Lastpage :
547
Abstract :
The Stadtpilot project aims at fully automated driving on Braunschweig´s inner city ring road. The TU Braunschweig´s research vehicle Leonie is one of the first vehicles having the ability of fully automated driving in real urban traffic scenarios. In this paper, we present our approaches for context representation and environment modeling for automated driving. The demonstrated approach allows to provide a simple and yet universal information storage layer for the development of complex driving applications. Moreover, we present our approach for aggregating and fusing information between dynamic traffic objects detected by the sensor systems and a-priori map information.
Keywords :
graph theory; road traffic; Braunschweig research vehicle Leonie; Stadtpilot project; a-priori map information; automated driving; dynamic traffic objects; environment modeling; graph-based context representation; information aggregation; inner city ring road; real urban traffic scenarios; sensor systems; universal information storage layer; Abstracts; Context; Context modeling; Object oriented modeling; Roads; Semantics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium Proceedings, 2014 IEEE
Conference_Location :
Dearborn, MI
Type :
conf
DOI :
10.1109/IVS.2014.6856556
Filename :
6856556
Link To Document :
بازگشت